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Journal Articles
- 2024
[j7]Chenyang Yu, Jianhong Liu
, Hongchao Zhao, Mengqing Wang, Jing Li, Xiaopeng She, Yi Chen, Yangjie Wang, Bochao Liu, Cheng Zou, Yong He, Yong Zhou:
Sensitive Breath Acetone Detection Based on α-Fe2O3 Nanoparticles Modified WO3 Nanoplate Heterojunctions. IEEE Trans. Instrum. Meas. 73: 1-8 (2024)- 2023
- [j6]Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng:
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. 32: 116-127 (2023) - 2018
- [j5]Chengjian Zhang, Wansheng Wang, Bochao Liu, Tingting Qin:
A multi-domain Legendre spectral collocation method for nonlinear neutral equations with piecewise continuous argument. Int. J. Comput. Math. 95(12): 2419-2432 (2018) - [j4]Hang Ren, Taotao Hu, YuLong Song, Hui Sun, Bochao Liu, Minghe Gao:
An Improved Electronic Image Motion Compensation (IMC) Method of Aerial Full-Frame-Type Area Array CCD Camera Based on the CCD Multiphase Structure and Hardware Implementation. Sensors 18(8): 2632 (2018) - 2016
- [j3]Fan Zhao, Jian Zhao, Xizhen Han, He Wang, Bochao Liu:
Robust image reconstruction enhancement based on Gaussian mixture model estimation. J. Electronic Imaging 25(2): 023007 (2016) - 2015
- [j2]Bochao Liu, Chengjian Zhang:
A spectral Galerkin method for nonlinear delay convection-diffusion-reaction equations. Comput. Math. Appl. 69(8): 709-724 (2015) - 2010
- [j1]Bochao Liu, Atsushi Ohori:
A Flattening Strategy for SML Module Compilation and Its Implementation. Inf. Media Technol. 5(1): 58-76 (2010)
Conference and Workshop Papers
- 2024
- [c8]Bochao Liu, Pengju Wang, Shiming Ge:
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. ECCV (7) 2024: 55-71 - [c7]Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge:
Fusion of Current and Historical Knowledge for Personalized Federated Learning. IJCNN 2024: 1-8 - [c6]Bochao Liu, Pengju Wang, Weijia Guo, Yong Li, Liansheng Zhuang, Weiping Wang, Shiming Ge:
Private Gradient Estimation is Useful for Generative Modeling. ACM Multimedia 2024: 282-290 - 2023
- [c5]Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge:
Model Conversion via Differentially Private Data-Free Distillation. IJCAI 2023: 2187-2195 - [c4]Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge:
Personalized Federated Learning via Backbone Self-Distillation. MMAsia 2023: 2:1-2:7 - 2022
- [c3]Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge:
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. MMSP 2022: 1-6 - 2021
- [c2]Haolin Liu, Chenyu Li, Bochao Liu, Pengju Wang, Shiming Ge, Weiping Wang:
Differentially Private Learning with Grouped Gradient Clipping. MMAsia 2021: 14:1-14:7 - 2018
- [c1]Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai:
Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. CIKM 2018: 2087-2095
Informal and Other Publications
- 2024
- [i8]Bochao Liu, Pengju Wang, Shiming Ge:
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. CoRR abs/2408.14738 (2024) - [i7]Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng:
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. CoRR abs/2409.02404 (2024) - [i6]Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi, Yong Li, Shiming Ge:
Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition. CoRR abs/2409.06371 (2024) - [i5]Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge:
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. CoRR abs/2409.12384 (2024) - [i4]Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge:
Personalized Federated Learning via Backbone Self-Distillation. CoRR abs/2409.15636 (2024) - 2023
- [i3]Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge:
Model Conversion via Differentially Private Data-Free Distillation. CoRR abs/2304.12528 (2023) - [i2]Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu:
Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. CoRR abs/2305.10662 (2023) - 2017
- [i1]Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai:
Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. CoRR abs/1711.06505 (2017)
Coauthor Index
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